Results 51 to 60 of about 8,286,998 (397)
Note About Null Dimensional Reduction of M5-Brane [PDF]
arXiv, 2021 In this short note we study null dimensional reduction of M5-brane covariant action. We analyse longitudinal dimensional reduction that leads to non-relativistic D4-brane and transverse reduction that leads to NS5-brane in non-relativistic string theory.
arxiv
Using Dimensional Reduction for Hadronic Collisions [PDF]
Nucl.Phys.B808:88-120,2009, 2008 We discuss how to apply regularization by dimensional reduction for computing hadronic cross sections at next-to-leading order. We analyze the infrared singularity structure, demonstrate that there are no problems with factorization, and show how to use dimensional reduction in conjunction with standard parton distribution functions.
arxiv +1 more source
Journal of Big Data, 2020 Telecom Companies logs customer’s actions which generate a huge amount of data that can bring important findings related to customer’s behavior and needs.
Maha Alkhayrat +2 more
semanticscholar +1 more source
NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction [PDF]
Computer Vision and Pattern Recognition, 2018 In this paper, we propose a novel Convolutional Neural Network (CNN) structure for general-purpose multi-task learning (MTL), which enables automatic feature fusing at every layer from different tasks.
Yuan Gao +5 more
semanticscholar +1 more source
Context-aware dimensionality reduction deconvolutes gut microbial community dynamics
Nature Biotechnology, 2020 The translational power of human microbiome studies is limited by high interindividual variation. We describe a dimensionality reduction tool, compositional tensor factorization (CTF), that incorporates information from the same host across multiple ...
C. Martino +11 more
semanticscholar +1 more source
Manifold Elastic Net: A Unified Framework for Sparse Dimension Reduction [PDF]
, 2010 It is difficult to find the optimal sparse solution of a manifold learning based dimensionality reduction algorithm. The lasso or the elastic net penalized manifold learning based dimensionality reduction is not directly a lasso penalized least square ...
A D’aspremont +40 more
core +1 more source
Dimensionality reduction of complex dynamical systems
iScience, 2021 Summary: One of the outstanding problems in complexity science and engineering is the study of high-dimensional networked systems and of their susceptibility to transitions to undesired states as a result of changes in external drivers or in the ...
Chengyi Tu +2 more
doaj
Neighbors-Based Graph Construction for Dimensionality Reduction
IEEE Access, 2019 Dimensionality reduction is a fundamental task in the field of data mining and machine learning. In many scenes, examples in high-dimensional space usually lie on low-dimensional manifolds; thus, learning the low-dimensional embedding is important.
Hui Tian +3 more
doaj +1 more source
Deep learning approach based on dimensionality reduction for designing electromagnetic nanostructures [PDF]
npj Computational Materials, 2019 In this paper, we demonstrate a computationally efficient new approach based on deep learning (DL) techniques for analysis, design and optimization of electromagnetic (EM) nanostructures.
Yashar Kiarashinejad +2 more
semanticscholar +1 more source
AN ALTERNATIVE DIMENSIONAL REDUCTION PRESCRIPTION [PDF]
Modern Physics Letters A, 1996 We propose an alternative dimensional reduction prescription which in respect with Green functions corresponds to dropping the extra spatial coordinate. From this, we construct the dimensionally reduced Lagrangians both for scalars and fermions, discussing bosonization and supersymmetry in the particular two-dimensional case.
Edelstein Glaubach, José Daniel +3 more
openaire +3 more sources